WEBVTT FILE 1 00:00:00.000 --> 00:00:05.805 ♪♪Music♪♪ 2 00:00:05.805 --> 00:00:11.711 Nathan Kurtz: For me, I've only done airborne field work, which is very different than being on a ship. 3 00:00:11.711 --> 00:00:19.986 And we're just very isolated, like the ship is really your whole world and all those people on the ship are your whole world. 4 00:00:19.986 --> 00:00:27.894 And then just outside the ship is just a very hostile landscape. It's cold. There's polar bears. 5 00:00:27.894 --> 00:00:30.530 There's water that can open up underneath your feet. 6 00:00:30.530 --> 00:00:32.932 *Ship horn* 7 00:00:32.932 --> 00:00:37.037 And so, it was a very interesting experience to 8 00:00:37.037 --> 00:00:40.774 to be on the ship which was very safe and warm, and felt good. 9 00:00:40.774 --> 00:00:44.611 But then we'd go out and do our fieldwork, and we'd set things up. 10 00:00:44.611 --> 00:00:49.916 And we'd be out on the ice, we could feel like this is a very wild environment. 11 00:00:50.216 --> 00:00:53.987 As we were transiting through the ice, we were searching for a suitable icefloe. 12 00:00:53.987 --> 00:00:56.623 Something that would be thick enough that could support us 13 00:00:56.623 --> 00:00:59.859 working on safely, and also survive through the year. 14 00:01:00.693 --> 00:01:04.597 While searching for that floe, we had different satellite tools that we're using. 15 00:01:04.597 --> 00:01:09.402 That would identify the shape of the floes. We could see how big the floes were. 16 00:01:09.402 --> 00:01:11.371 But what we didn't know was how thick they were. 17 00:01:11.371 --> 00:01:14.641 We went to some of these floes and we found, no. These were really thin. 18 00:01:14.641 --> 00:01:16.509 We can't actually use this floe. 19 00:01:17.477 --> 00:01:22.415 We looked at some ICESat-2 tracks in hopes that some of the floes that we had identified 20 00:01:22.415 --> 00:01:25.185 we could see how thick they were. 21 00:01:25.185 --> 00:01:29.556 It didn't work out this time, but for a future expedition 22 00:01:29.556 --> 00:01:34.394 I think we've identified ways that we could utilize ICESat-2, or something like ICESat-2. 23 00:01:34.394 --> 00:01:37.831 ♪ Upbeat Music ♪ 24 00:01:37.831 --> 00:01:41.167 Text: GLOBE Observer Presents 25 00:01:41.167 --> 00:01:43.136 ♪ Upbeat Music ♪ 26 00:01:43.136 --> 00:01:48.808 Text: Why Observe?: Tree Height 27 00:01:50.677 --> 00:02:00.153 Narrator: While there wasn't enough ICESat-2 data for MOSAiC, or the Multidisciplinary drifting Observatory for the Study of the Arctic Climate to use. 28 00:02:00.153 --> 00:02:05.792 Dr. Nathan Kurtz and the team were able to locate an area with the right amount of sea ice thickness 29 00:02:05.792 --> 00:02:07.827 by using different methods. 30 00:02:08.628 --> 00:02:13.733 Likewise, scientists often use various methods to measure other aspectst of our planet. 31 00:02:13.733 --> 00:02:15.435 Like forests. 32 00:02:15.435 --> 00:02:20.707 So, why take measurements of the same thing, using different methods? 33 00:02:20.707 --> 00:02:24.878 And how does measuring sea ice thickness relate to tree height? 34 00:02:24.878 --> 00:02:30.583 Let's take closer look at the Ice, Cloud, and land Elevation Satellite, or ICESat-2. 35 00:02:30.583 --> 00:02:35.488 Its main purpose is to measure ice thickness using its sole instrument, ATLAS. 36 00:02:35.488 --> 00:02:39.159 But, it also measures tree heights as it orbits Earth. 37 00:02:39.159 --> 00:02:45.698 This is doen with photon-counting lasers and algorithms developed to differentiate what environments they are measuring. 38 00:02:45.698 --> 00:02:49.802 An algorithm is a step by step procedure for solving a problem 39 00:02:49.802 --> 00:02:53.706 usually a mathematical one, in a limited number of steps. 40 00:02:53.706 --> 00:02:58.378 Claudia Carabajal was the Deputy Lead for the Flight Science Receiver Algorithms. 41 00:02:58.378 --> 00:03:01.681 One of the many subsystems of the ATLAS instrument. 42 00:03:02.115 --> 00:03:06.986 Claudia Carabajal: The algorithms that process the data on the ground for ICESat-2 are tailored 43 00:03:06.986 --> 00:03:11.758 directly to address that characteristics of the surface. 44 00:03:11.758 --> 00:03:16.029 So they're tailored to sea ice and vegetation. 45 00:03:16.629 --> 00:03:20.700 The coherence of those photons when reaching the surfaces changes. 46 00:03:20.700 --> 00:03:24.904 So the algorithms need to be specifically tailored to the surface type. 47 00:03:24.904 --> 00:03:28.408 Of course the comparisons against all the data sets help you. 48 00:03:28.408 --> 00:03:33.880 And sometimes you need the help of an additional data set. As you're processing. 49 00:03:36.549 --> 00:03:41.287 Nathan Kurtz: When I was on MOSAiC, we took specific measurements that are useful, and will be used. 50 00:03:41.287 --> 00:03:45.158 By combining mutliple measurements together, we're able to 51 00:03:45.158 --> 00:03:51.097 quantify and see whether ICESat-2 is making its measurements accurately and how it's needed to be done. 52 00:03:53.166 --> 00:03:57.604 Claudia Carabajal: One of the ways that you can actually figure out if ICESat-2 is actually measuring 53 00:03:57.604 --> 00:04:02.508 the right thing is to compare it with observations that are being collected by other means. 54 00:04:02.508 --> 00:04:06.613 For example, airborne campagins, other satellite data, 55 00:04:06.613 --> 00:04:09.482 and see what the surface looks like. 56 00:04:09.482 --> 00:04:12.752 You can look at how things are changing in different seasons. 57 00:04:14.187 --> 00:04:19.726 Narrator: Whether it's sea ice thickness or tree height, comparing data collected by different missions 58 00:04:19.726 --> 00:04:24.030 and field campagins allows scientists to better understand how the instrument works. 59 00:04:24.631 --> 00:04:29.369 Dr. Laura Duncanson uses LIDAR data to create 3D maps of forests. 60 00:04:29.369 --> 00:04:34.374 And Dr. Nancy Glenn is currently looking at various ways in which tree height data collected 61 00:04:34.374 --> 00:04:37.510 by ICESat-2 and GLOBE Observers can be utilized. 62 00:04:37.510 --> 00:04:42.415 For both, tree height data adds to our understanding of Earth's systems. 63 00:04:43.149 --> 00:04:46.486 Laura Duncanson: Of course we can't go out into the woods all over the planet 64 00:04:46.486 --> 00:04:48.254 and measure every dingle tree on the ground. 65 00:04:48.254 --> 00:04:51.257 So, for ICESat-2 these estimates of tree height, 66 00:04:51.257 --> 00:04:57.130 we don't know exactly how precise they are, or how good they are in all of the different forests around the globe. 67 00:04:57.130 --> 00:04:59.399 There's a lot of variability in forests. 68 00:04:59.666 --> 00:05:03.836 Narrator: Just like how taking field observations and airborne data collected of sea ice thickness 69 00:05:03.836 --> 00:05:06.639 can act as supplementary data to ICESat-2. 70 00:05:06.639 --> 00:05:10.176 Tree height measurements collected in the field can also be used to do the same. 71 00:05:10.643 --> 00:05:15.848 This supplementary data can help scientists account for variability between different 72 00:05:15.848 --> 00:05:18.685 environments when looking at measurements collected by satellites. 73 00:05:18.685 --> 00:05:23.022 As mentioned, tree height measurements can be taken in different ways. 74 00:05:23.022 --> 00:05:27.794 One method is to use trigonometry to estimate the height of a tree. 75 00:05:27.794 --> 00:05:31.097 This is the method that students and citizen scientists use. 76 00:05:31.664 --> 00:05:34.500 By measuring the distance to the tree 77 00:05:34.500 --> 00:05:39.639 along with angles a and b, using a handheld clinometer. Or the one built into a smartphone. 78 00:05:39.639 --> 00:05:42.308 Observers can calculate the height. 79 00:05:42.842 --> 00:05:46.479 Laura Duncanson: Having people go into the woods and actually measure tree height 80 00:05:46.479 --> 00:05:52.051 to compare to the satellite estimates of tree height, gives us a sense of how reliable those tree height estimates are 81 00:05:52.051 --> 00:05:58.558 and maybe some ecosystems that they're particularly good at doing tree height, or particularly challenged doing tree height. 82 00:05:59.225 --> 00:06:04.464 Narrator: Now we know that by taking measurements of the same thing using different methods can help scientists. 83 00:06:04.464 --> 00:06:11.637 Taking tree height measurements adds a whole new data set for satellites and instruments such as ICESat-2 and GEDI to compare with. 84 00:06:11.637 --> 00:06:16.776 These measurements also provide content that only an observer on the ground can provide. 85 00:06:16.776 --> 00:06:22.048 Like recent changes including drought, fire, invasive species and more. 86 00:06:22.849 --> 00:06:25.051 Now that leaves the question. 87 00:06:25.051 --> 00:06:27.453 Why do scientists study trees? 88 00:06:29.222 --> 00:06:35.161 Laura Duncanson: So, for decades now we've had really good maps of where there are forests and where there aren't forests. 89 00:06:35.161 --> 00:06:39.098 But we've never before known how tall those trees in those forests are. 90 00:06:39.098 --> 00:06:45.405 And this is a really critical piece of information because it tells us not only of course how tall the forests are 91 00:06:45.405 --> 00:06:48.541 but how much above ground woody carbon they store. 92 00:06:49.375 --> 00:06:54.080 Forests represent one of the biggest carbon stocks on the Earth's surface. 93 00:06:54.080 --> 00:07:00.253 And if we cut down and burn forests, we essentially are pushing more carbon into the atmosphere. 94 00:07:00.253 --> 00:07:04.524 And if we allow those forests to regrow, we are sucking that carbon out of the atmosphere. 95 00:07:04.524 --> 00:07:08.194 But we don't know right now how much carbon is where in Earth's forests 96 00:07:08.194 --> 00:07:11.964 because we've never had that third dimensional measurement of Earth's forests 97 00:07:11.964 --> 00:07:14.600 which is so tightly linked to its carbon content. 98 00:07:14.600 --> 00:07:20.206 Narrator: Using tree height not only helps scientists track how much carbon is getting released into the air 99 00:07:20.206 --> 00:07:22.074 but can also be used in other ways. 100 00:07:22.074 --> 00:07:27.613 Nancy Glenn: Tree height is really important for us. As it is we're interested in knowing how tree height is affected 101 00:07:27.613 --> 00:07:32.952 by increased CO2 or increased temperatures, or decreased temperatures. 102 00:07:32.952 --> 00:07:37.857 And that gives us an indicator for making future predictions about trees in the future. 103 00:07:38.157 --> 00:07:42.595 We're interested in is that trees and the differences in tree heights 104 00:07:42.595 --> 00:07:45.231 provides some level of what we call structural diversity. 105 00:07:45.231 --> 00:07:50.136 And structural diversity can be really really important for the health of an ecosystem. 106 00:07:50.136 --> 00:07:54.540 As well as provide habitat for a variety of different types of animals. 107 00:07:54.540 --> 00:08:01.814 So we're using NASA resources, NASA airborne data as well as satellite-based data like ICESat. 108 00:08:02.548 --> 00:08:07.720 Narrator: Many Earth observing satellites such as Landsat can only see a top down view of Earth. 109 00:08:07.720 --> 00:08:09.922 *camera shutter**camera shutter**camera shutter* 110 00:08:09.922 --> 00:08:13.292 Narrator: This information comes in the form of two-dimensional images 111 00:08:13.292 --> 00:08:18.397 made up of pixels between the size of 30 meters squared to 500 meters squared. 112 00:08:18.998 --> 00:08:25.371 But now with GEDI on board the International Space Station and the launch of the ICESat-2 satellie in 2018, 113 00:08:25.371 --> 00:08:29.509 scientists are able to see height added to this top down view of Earth. 114 00:08:30.309 --> 00:08:35.448 By taking and submitting tree height observations, citizen scientists and students can help 115 00:08:35.448 --> 00:08:37.350 scientists and researchers. 116 00:08:37.350 --> 00:08:43.623 Not just by providing measurements from different ecosystems, but by providing a different type of data. 117 00:08:43.623 --> 00:08:48.895 What seems like such a small piece to contribute, can help scientists across the world. 118 00:08:49.695 --> 00:08:55.535 Laura Duncanson: The GLOBE Observer tree observation essentially let people all over the world 119 00:08:55.535 --> 00:09:03.142 measure tree heights and give us that information where we can't go into every single forest ourselves as a small group of scientists. 120 00:09:03.676 --> 00:09:08.180 Nancy Glenn: From a scientist's perspective, but also as somebody who participates in citizen science. 121 00:09:08.180 --> 00:09:09.415 It's a great intersection. 122 00:09:09.415 --> 00:09:11.217 The more data the better. 123 00:09:11.217 --> 00:09:16.622 But also, the connection, right? Is this connection between scientists and the community. And 124 00:09:16.622 --> 00:09:20.059 scientists understanding what's important to our communities. 125 00:09:20.059 --> 00:09:23.296 And being able to engage and learn from one another. 126 00:09:23.863 --> 00:09:26.699 Claudia Carabajal: There is a large part of collaboration 127 00:09:26.699 --> 00:09:33.072 between the instrument scientists and everybody working on every aspect of the ATLAS instrument. 128 00:09:33.072 --> 00:09:38.844 And the mission scientist and his deputy and everyone else, and all the universities. 129 00:09:39.512 --> 00:09:42.949 Citizen science is really important to get the community involved. 130 00:09:42.949 --> 00:09:48.154 It motivates everybody to be more informed about the science. 131 00:09:48.154 --> 00:09:52.224 And also perhaps motivate a crowd new scientists. 132 00:09:52.224 --> 00:09:55.828 Nancy Glenn: All of this is important because one, it's the pursuit of 133 00:09:55.828 --> 00:09:58.698 answering questions about our natural environment. 134 00:09:59.198 --> 00:10:02.101 Our natural environment is changing very rapidly. 135 00:10:02.435 --> 00:10:07.006 Nathan Kurtz: A tree height measurement that's taken by citizen scientists could be useful for us. 136 00:10:08.040 --> 00:10:11.978 Nancy Glenn: It's really important for us to monitor what is here now. 137 00:10:12.478 --> 00:10:18.784 So we can document that, but also use that in models to predict what might be here in the future. 138 00:10:19.518 --> 00:10:21.554 Narrator: To learn more about GLOBE Observer 139 00:10:21.554 --> 00:10:22.755 check out the website at 140 00:10:22.755 --> 00:10:25.224 observer dot globe dot gov 141 00:10:25.224 --> 00:10:28.361 And download the app to start taking your own observations today. 142 00:10:28.361 --> 00:10:29.328 Explore Earth 143 00:10:29.328 --> 00:10:30.329 NASA 144 00:10:30.329 --> 00:10:31.330 ♪Music♪